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We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

This role is for a Design Verification Engineer who will enable us to produce fully functional first silicon IP designs. The responsibilities include all phases of pre-silicon verification including but not limited to: establishing DV methodology, test-plan development, verification environment development including stimulus and checkers, test-writing, debug, coverage, sign-off for RTL freeze and tape-out.

The position is relevant to all our sites: Herzliya, Haifa and Jerusalem.

In this role, you will be responsible for ensuring bug-free first silicon for part of the IP and are expected to: Develop detailed test and coverage plans based on the micro-architecture Develop verification methodology suitable for the IP, ensuring a scalable and portable environment. Develop verification environment, including all the respective components such as stimulus, checkers, assertions, trackers, coverage and more.

Join our collaborative procurement team and make a meaningful impact on providing scientific solutions. As a Procurement/Sourcing Specialist II, you'll create value across our supplier network while ensuring uninterrupted supply of critical materials and services. Working with cross-functional teams, you'll negotiate contracts, implement cost-saving initiatives, and build strategic supplier relationships that support our mission of enabling customers to make the world healthier, cleaner and safer.
Your role will involve managing supplier portfolios, executing sourcing strategies, analyzing market intelligence, and ensuring on-time delivery of materials to meet production demands. You'll collaborate with stakeholders across manufacturing, engineering, quality, and planning teams to optimize our supply chain and support continuous improvement. This position offers excellent opportunities for professional growth while contributing to scientific advances.

Join our team Scientific where you'll contribute to managing logistics operations for clinical trials, pharmaceutical products, and scientific equipment. As a Logistics Specialist I, you'll coordinate shipments, ensure regulatory compliance, and maintain supply chain operations. You'll handle order processing, documentation, inventory management, and work with internal teams and external partners to deliver excellent service. This position offers the opportunity to contribute to our mission of enabling customers to make the world healthier, cleaner, and safer.
Key Responsibilities:
Pick raw materials and prepare them for production lines according to manufacturing requirements.
Receive goods from suppliers, including shipment receipt, required inspections, ERP system receiving, and transferring samples to the Quality Control department.
Pick, pack, and prepare finished goods for export shipments.
Perform daily work using ERP systems and computerized warehouse and inventory management systems.
Operate a forklift for material handling, storage, and internal transportation.
Organize and store inventory in a batch-managed warehouse.
Maintain warehouse cleanliness, organization, and compliance with company quality and safety procedures.
Take initiative in continuous improvement and warehouse process optimization activities.
Work collaboratively as part of a professional team in an advanced, high-standard work environment.

This role is for a analog IP lead who will enable us to produce fully functional first silicon IP designs. The responsibilities include all phases of silicon development from definition to high quality production.


Specifying requirements and circuit architecture for analog blocks and sub-blocks of an IP, lab bring-up, characterization and debug, write specifications, test plans and characterization reports, work with chip design teams, system HW and SW design teams, ATE PE.

You will be responsible for:
Develop the circuit design of the IPs analog blocks following established design guidelines based on microarchitecture spec. Own all aspects of circuit design development.
Work and collaborate with other designers in the group to deliver results.
Work with FE & BE teams to ensure quality analog integration.
Work with power/performance and functional verification team to define and validate operation sequences.
Work with multi-disciplinary teams to make sure designs are delivered on time and with highest quality by incorporating proper checks at every stage of the design process.
Work with post silicon validation groups to ensure the design meets the power/performance targets.

we bring connectivity and intelligence to everyday products and packaging; things previously disconnected from the internet of things. our platform combines cloud services and iot pixels, computing elements that can power themselves by harvesting radiofrequency energy. this revolutionary mixture of cloud and semiconductor technology is used by some of the worlds largest brands, food, and pharmaceutical companies to change how we make, distribute, sell, use, and recycle products. our investors include amazon, verizon, ntt docomo, qualcomm, pepsico, and softbank vision fund 2. join us and help pave the way for the new iot.
our TEST & product team is responsible for keeping a target of a very aggressive cost limit of the production testing (wafer sort) while performing comprehensive testing of all the units functionalities. this involves:
development of the tests using the teradyne uf tester.
development of unique and advanced TEST hw.
monitoring and analyses the production data.
fa (failure analysis) when issues are discovered.
innovative dft (design for testability) with the design team.
responsibilities:
development of wafer sort TEST programs through a close relationship with the system team.
development of the future products dft and dfm through close collaboration with the design team.
improvement of the production data analysis and reports through close relationships with the cloud and data teams.
working with the external abroad TEST houses.
decision-making based on massive data analysis (pass criteria, improvements of the tests, identification of failures).
integrate new and innovative testing methods for a new technology sector.
specify and work with external vendors for the tester hw (probe-card and load-board).
specify and work with external vendors for the htol hw, TEST program.